Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Scala Programming Projects

You're reading from   Scala Programming Projects Build real-world projects using popular Scala frameworks such as Play, Akka, and Spark

Arrow left icon
Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781788397643
Length 398 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Mikael Valot Mikael Valot
Author Profile Icon Mikael Valot
Mikael Valot
Nicolas Jorand Nicolas Jorand
Author Profile Icon Nicolas Jorand
Nicolas Jorand
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Writing Your First Program FREE CHAPTER 2. Developing a Retirement Calculator 3. Handling Errors 4. Advanced Features 5. Type Classes 6. Online Shopping - Persistence 7. Online Shopping - REST API 8. Online Shopping - User Interface 9. Interactive Browser 10. Fetching and Persisting Bitcoin Market Data 11. Batch and Streaming Analytics 12. Other Books You May Enjoy

Understanding Apache Spark


Spark is an open source framework built to perform analytics on large datasets. Unlike other tools such as R, Python, and MathLab that are using in-memory processing, Spark gives you the possibility to scale out. And thanks to its expressiveness and interactivity, it also improves developer productivity.

There are entire books dedicated to Spark. It has a vast number of components and lots of areas to explore. In this book, we aim to get you started with the fundamentals. You should then be more comfortable exploring the documentation if you want to.

The purpose of Spark is to perform analytics on a collection. This collection could be in-memory and you could run your analytics using multiple threads, but if your collection is becoming too large, you are going to reach the memory limit of your system.

Spark solved this issue by creating an object to hold all of this data. Instead of keeping everything in the local computer's memory, Spark chunks the data into multiple...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image